• Journal of the Korean Society of Radiology
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• v.14 no.3
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• pp.271-277
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• 2020

The Purpose of this study was to examine the survival rate and weight of rhinoceros beetle larvae by irradiating X-rays which are most commonly used in diagnosing and treating for diseases. Subjectts and Methods: In early April 2019, the rhinoceros beetle larvae 41 were classified into two groups as control group (11 larvae) and irradiated group (10 Gy, 20 Gy, 30 Gy, each 10 larvae). The irradiated group was exposed by 6 MV X-ray using linear accelerators (Clinac IS, VERIAN, USA) at the University Hospital in Daejeon (Source-surface distance 96 cm, field size 18 × 10 cm, dose rate 600 MU/min), after environmental adaptation for 3 days (temperature 20.6℃, humidity 64.3%). The survival rate and weight were measured weekly after irradiating X-ray. All statistical analyses were performed using the SPSS ver. 22.0 (Chicago, IL, USA). The weight was analysed by Independent T-test, by cross-sectional analysis for survival rates between control and X-ray irradiated groups. Also, the correlation between dose and weight was analyzed by Spearman test. In 3-week after irradiating X-ray, weight was significant difference between control group and irradiated group (10 Gy or 20 Gy, p < 0.05; and 30 Gy, p < 0.01) with increasing weight in all experimental groups. In 14-week, weight was increased in the control group, but decreased in irradiated group. weight was significant difference between control group and irradiated group. The survival rate in 3-week was decreased rapidly in all experimental group except 10 Gy, to 4-week in irradiated group. The control group had no change in survival rate 54.5% from 3-week to 14-week. From the 3-week, it showed lower survival rate with increasing radiation dose in irradiated group. In 19-week, survival rate of control group and 10 Gy was 45.4% and 30.0% respectively, all died in 20 Gy and 30 Gy. Weight was significantly negative correlated with radiation dose as longer time after irradiating X-ray. The weight and survival rate of rhino beetle larvae is affected by irradiating X-rays, weight and survival rate decreased more in higher dose.

• Investigative Magnetic Resonance Imaging
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• v.18 no.2
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• pp.120-132
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• 2014

Purpose : To compare dynamic susceptibility contrast imaging, diffusion-weighted imaging, and susceptibility-weighted imaging (SWI) for the differentiation of tumor recurrence and delayed radiation therapy (RT)-related changes in patients treated with RT for primary brain tumors. Materials and Methods: We enrolled 24 patients treated with RT for various primary brain tumors, who showed newly appearing enhancing lesions more than one year after completion of RT on follow-up MRI. The enhancing-lesions were confirmed as recurrences (n=14) or RT-changes (n=10). We calculated the mean values of normalized cerebral blood volume (nCBV), apparent diffusion coefficient (ADC), and proportion of dark signal intensity on SWI (proSWI) for the enhancing-lesions. All the values between the two groups were compared using t-test. A multivariable logistic regression model was used to determine the best predictor of differential diagnosis. The cutoff value of the best predictor obtained from receiver-operating characteristic curve analysis was applied to calculate the sensitivity, specificity, and accuracy for the diagnosis. Results: The mean nCBV value was significantly higher in the recurrence group than in the RT-change group (P=.004), and the mean proSWI was significantly lower in the recurrence group (P<.001). However, no significant difference was observed in the mean ADC values between the two groups. A multivariable logistic regression analysis showed that proSWI was the only independent variable for the differentiation; the sensitivity, specificity, and accuracy were 78.6% (11 of 14), 100% (10 of 10), and 87.5% (21 of 24), respectively. Conclusion: The proSWI was the most promising parameter for the differentiation of newly developed enhancing-lesions more than one year after RT completion in brain tumor patients.

• Therapeutic Science for Rehabilitation
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• v.9 no.1
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• pp.69-78
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• 2020

Objective : The purpose of this study was to conduct a comprehensive survey of children's play in parents of disabled and non-disabled children prior to commencing school. This study aimed to further understanding play recognition and to present a specific direction of play necessary to each parent. Methods : A questionnaire based on prior studies was sent to 700 people who had previously agreed to the take part. A total of 596 questionnaires were analyzed. Uncollected and insincere surveys, of which 106 were questionnaires for parents of disabled children, were exclused from analysis. The SPSS Window 23 program was used for data analysis and frequency analysis and the independent sample T test were performed. Results : Disabled children's parents perceived playing with their children as more important than that of non-disabled children's parents(p<0.01). There was no statistical difference between disabled children and non-disabled children's parents, but there were some differences(p=0,053). Both disabled and non-disabled children had more time to participate with their mothers than with their fathers. Mothers with disabilities had more time to play however, fathers with no disabilities had more time. Both disabled and non-disabled children's parents had the most "ordinary" frequency of buying toys and there was very littele difference between the 2 groups. Both disabled and non-disabled children's parents primarily used the internet to acquire play information, and consideration when buying fun was followed by interest inducement, development level and safety. Conclusion : Through this study, it was possible to compare the status of play recognition and participation by parents of children with or without disabilities. Based on this study, parents will be able to find out what they really need to play and will be provided as a basis for future play studies for children.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.4
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• pp.95-111
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• 2015

This purpose of this study is to academically define what "luxury products" mean, and to clarify the cognitive structural relationship between product attributes and "luxuriousness" in relation to the determinant of luxuriousness that eventually affects the purchase intention of consumers. This study is also written under the theory that luxuriousness leads to benefits such as functional benefit, experiential benefit, symbolic benefit, and exclusive benefit; which all provide core values to consumers and serve as effect factors that influence the psychological satisfaction of consumers. The commonly discussed measure of the determinant of luxuriousness has often failed to adequately describe the reasons to why the consumers prefer luxury products. This study also aims to suggest a new path in how and what the consumers perceive as luxury products, and to conceptualize what luxuriousness means in the marketing perspectives on the background of a previous theory. The part of product attributes are divided in the following sections: the quality and design of functional cues and brands of symbolic cues, as well as prices. The part of the determinant of luxuriousness is divided in sections of superiority, scarcity, differentiation, and traditionality. Therefore, this study used the theoretical concept used in such common measures as well as 282 examples to empirically analyze the relationship between product attributes and luxuriousness of luxury products, and how such affect the purchase intentions of consumers. The survey used to aid this study targeted luxury product consumers regarding "B" brand of automobiles. Using the analysis through a structural equation model, the study draws a conclusion that in a relationship between product attributes and luxuriousness, quality(which is one of the functional cues) affects the facts of superiority, differentiation in a significant way, and design affects the factors of scarcity in a significant way. And brand(one of the symbolic cues) significantly affects the factors of traditionality within the luxuriousness factors, and price appeared to affect superiority and scarcity. Additionally, the brand of product attributes significantly affects purchase intention, and superiority and scarcity of luxuriousness affects purchase intention in a significant way. The structural concept of luxury and luxuriousness suggested in the study will provide the theoretical basis for building a new case study, and the determinants of luxuriousness in the marketing perspective will be a practical help for checking the consumers' psychological reasons for purchase.

• Journal of Korean Society of Forest Science
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• v.97 no.6
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• pp.627-633
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• 2008

This study was conducted to estimate volume growth rates for major Quercus species distributed in Korea, and based on the data collected from the 5th National Forest Inventory. Volume growth rates were estimated by each age class for each species, and their similarity or distinction was statistically analyzed. It was also intended to compare the resulted volume growth rates with the existing growth rates, and to develope a volume growth rate estimation model for the Quercus species. Six major Quercus species were considered in this study; Quercus acutissima, Quercus aliena, Quercus serrata, Quercus variabilis, Quercus dentata, and Quercus mongolica. Based on the data collected from the 5th National Forest Inventory, the diameter growth rates and the height growth rates were estimated for each species, and then the volume growth rates were estimated with the given diameter and height growth rates. To examine the distinction between species or age classes, statistical analyses such as ANOVA and Duncan's multiple range test were applied. The results indicated that the volume growth rate was 10% in the age class II, 6% in the age class III, and lower in the subsequent classes. In addition, the volume growth rates of Quercus acutissima, Quercus aliena, and Quercus serrata were relatively high compared to those of Quercus variabilis, Quercus dentata, and Quercus mongolica. According to their growth rates, the six Quercus species were classified into two groups; high-growth-rate group and low-growth-rate group. Statistical analysis conducted to examine the difference between and within the groups showed that there is no significant difference within groups, while significant between groups. Based on the results, volume growth rate estimation model were finally developed for each group. The classification of the Quercus species suggested in this study was not the same with that of existing volume growth estimation. Thus, it is necessary to improve the existing volume growth rate or its estimation system.

• Applied Microscopy
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• v.36 no.3
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• pp.141-153
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• 2006

The purpose of this study is to find out how soft contact lens multi-purpose solution (MPS), often used for medical treatment, effects the inhibition on cell growth and research the result of using MPS, suspected to demage eye cells, on rabbit eye's corneal epithelium and endothelium tissue. In this treatise, $ReNu^{(R)}$ (Baush & Lomb, USA), Opti-free $express^{(R)}$ (Alcon, USA), Free-sol $plus^{(R)}$ (Hanamedicon, Korea) had been selected among the MPS. After culturing L929 roil line, cell growth inhibition rate was measured by MTT assay, and by making Hematoxylin and Eosin stain specimen. the morphology was observed by optical microscope. In the In vivo experiment,9 white rabbit eyes (18 eyes) were classified into 3 groups. The experimental group is left eyes (9 eyes) of rabbit, and MPS were dropped; however. the control group, the right eyes (9 eyes), were only used a saline solution without preservatives. After the dropping within the period, the cornea surface of rabbit eyes were stained by Rose bengal and observed. To figure out the changes of the corneal epithelium and endothelium tissue scanning electron microscopy (SEM) has been used. As the result, the rate of cell growth inhibition was 54%. 73% and 36%, respectively. Morphological changes represented that the shape has been changed into oval or round shape and those are not considered as a common formation of L929 cell line. When it comes to staining Rose bengal, each experiment group was stained red which is not shown in controls. The polygonal mosaic pattern of a corneal epithelium was disturbed in the picture taken by SEM; furthermore, the shape of the corneal endothelium was irregular. In conclusion, as we consider antimicrobial effect and the safety on living cells, it is necessary that we should improve concentration of preservatives and study continuously to develop a new preservatives without a toxic effect on the cornea surface.

• Progress in Medical Physics
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• v.23 no.2
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• pp.106-113
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• 2012

The purpose of this study is to evaluate the variation of radiation dose distribution for liver tumor located in liver dome and for the interest organs(normal liver, kidney, stomach) with the pencil beam convolution (PBC) algorithm versus anisotropic Analyticalal algorithm (AAA) of the Varian Eclipse treatment planning system, The target volumes from 20 liver cancer patients were used to create treatment plans. Treatment plans for 10 patients were performed in Stereotactic Body Radiation Therapy (SBRT) plan and others were performed in 3 Dimensional Conformal Radiation Therapy (3DCRT) plan. dose calculation was recalculated by AAA algorithm after dose calculation was performed by PBC algorithm for 20 patients. Plans were optimized to 100% of the PTV by the Prescription Isodose in Dose Calculation with the PBC algorithm. Plans were recalculated with the AAA, retaining identical beam arrangements, monitor units, field weighting and collimator condition. In this study, Total PTV was to be statistically significant (SRS: p=0.018, 3DCRT: p=0.006) between PBC and AAA algorithm. and in the case of PTV, ITV in liver dome, plans for 3DCRT were to be statistically significant respectively (p=0.013, p=0.024). normal liver and kidney were to be statistically significant (p=0.009, p=0.037). For the predictive index of dose variation, CVF ratio was to be statistically significant for PTV in the liver dome versus PTV (SRS r=0.684, 3DCRT r=0.732, p<0.01) and CVF ratio for Tumor size was to be statistically significant (SRS r=-0.193, p=0.017, 3DCRT r=0.237, p=0.023).

• Journal of Gifted/Talented Education
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• v.25 no.6
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• pp.837-856
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• 2015

The purpose of this study was to examine the effects of ill-structured problem solving program on the social self-efficacy, democratic citizenship, and meta-cognition of the scientifically gifted high school students and provide an opportunity to consider how to improve students' social self-efficacy, democratic citizenship, and meta-cognition when comprehensive character education has been emphasized in science programs for gifted students. The subjects consisted of 17 students(10th graders) and 19 students(11th graders) who were participated in a science gifted program in a Korean high school located in Seoul and pre-examination on their social self-efficacy, democratic citizenship, and meta-cognition was conducted. After applying 12-class-time of ill-structured problem solving program, post-examination on their social self-efficacy, democratic citizenship, and meta-cognition was conducted and student's self-essay about program was also conducted. Paired t-test was used to analyze the data collected and students's self-essays were also analyzed. The results of this study were as follows: First, the findings showed that ill-structured problem solving program developed students' social self-efficacy and especially showed a significant improvement in asking for help. Second, they also showed that ill-structured problem solving program raised students' democratic participation especially in a democratic function. Third, in terms of meta-cognition, ill-structured problem solving program also played a positive role. The result of analyzing students' essays also showed students' positive perception on the program. The findings of the present study suggested that ill-structured problem solving program should be taken into consideration when developing a science program for scientifically gifted high school students.

• Nuclear Medicine and Molecular Imaging
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• v.41 no.6
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• pp.538-545
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• 2007

Purpose: We evaluated correlation of $^{18}F$-FDG uptakes, therapeutic response and relapse in pre-treatment $^{18}F$-FDG PET/CT in patients with SCLC. Materials and methods: We included 26 patients with pathologically proven small cell lung cancer. Total 102 lesions (26 lungs, 69 lymph nodes and 8 metastatic lesions) were evaluated. All patients underwent $^{18}F$-FDG PET/CT for staging. The maxSUV was used as a parameter of $^{18}F$-FDG uptake. The patients were divided into responders and non-responders according to response criteria on chest CT scan after 3 cycles of chemotherapy. We compared maxSUV between two groups by using independent t-test. To access correlation with $^{18}F$-FDG uptake and relapse, maxSUV and interval time to relapse was analyzed by correlation analysis. The cutoff value of maxSUV was evaluated by ROC curve. Results: Twelve-one patients (81%) were responders and five patients were non-responders on follow-up chest CT scan. The mean maxSUV of main lung lesions in responders and non-responders were $14.15{\pm}3.72$ and $9.17{\pm}2.15$, respectively. The maxSUV in the responders was significantly lower than that in non-responders (p<0.05). According to ROC curve, point of cut that predicts therapeutic response was 8.98 with 100% sensitivity and 57% specificity. The correlation analysis between $^{18}F$-FDG uptakes and interval time to relapse showed a significant negative correlation (p<0.05, r=-0.757). Conclusion: The pre-treatment $^{18}F$-FDG uptake of responders was significantly lower than that of non-responders. Patients with high $^{18}F$-FDG uptake in pre-treatment $^{18}F$-FDG PET/CT relapse earlier.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.39-54
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• 2013

Recent explosive increase of electronic commerce provides many advantageous purchase opportunities to customers. In this situation, customers who do not have enough knowledge about their purchases, may accept product recommendations. Product recommender systems automatically reflect user's preference and provide recommendation list to the users. Thus, product recommender system in online shopping store has been known as one of the most popular tools for one-to-one marketing. However, recommender systems which do not properly reflect user's preference cause user's disappointment and waste of time. In this study, we propose a novel recommender system which uses data mining and multi-model ensemble techniques to enhance the recommendation performance through reflecting the precise user's preference. The research data is collected from the real-world online shopping store, which deals products from famous art galleries and museums in Korea. The data initially contain 5759 transaction data, but finally remain 3167 transaction data after deletion of null data. In this study, we transform the categorical variables into dummy variables and exclude outlier data. The proposed model consists of two steps. The first step predicts customers who have high likelihood to purchase products in the online shopping store. In this step, we first use logistic regression, decision trees, and artificial neural networks to predict customers who have high likelihood to purchase products in each product group. We perform above data mining techniques using SAS E-Miner software. In this study, we partition datasets into two sets as modeling and validation sets for the logistic regression and decision trees. We also partition datasets into three sets as training, test, and validation sets for the artificial neural network model. The validation dataset is equal for the all experiments. Then we composite the results of each predictor using the multi-model ensemble techniques such as bagging and bumping. Bagging is the abbreviation of "Bootstrap Aggregation" and it composite outputs from several machine learning techniques for raising the performance and stability of prediction or classification. This technique is special form of the averaging method. Bumping is the abbreviation of "Bootstrap Umbrella of Model Parameter," and it only considers the model which has the lowest error value. The results show that bumping outperforms bagging and the other predictors except for "Poster" product group. For the "Poster" product group, artificial neural network model performs better than the other models. In the second step, we use the market basket analysis to extract association rules for co-purchased products. We can extract thirty one association rules according to values of Lift, Support, and Confidence measure. We set the minimum transaction frequency to support associations as 5%, maximum number of items in an association as 4, and minimum confidence for rule generation as 10%. This study also excludes the extracted association rules below 1 of lift value. We finally get fifteen association rules by excluding duplicate rules. Among the fifteen association rules, eleven rules contain association between products in "Office Supplies" product group, one rules include the association between "Office Supplies" and "Fashion" product groups, and other three rules contain association between "Office Supplies" and "Home Decoration" product groups. Finally, the proposed product recommender systems provides list of recommendations to the proper customers. We test the usability of the proposed system by using prototype and real-world transaction and profile data. For this end, we construct the prototype system by using the ASP, Java Script and Microsoft Access. In addition, we survey about user satisfaction for the recommended product list from the proposed system and the randomly selected product lists. The participants for the survey are 173 persons who use MSN Messenger, Daum Caf$\acute{e}$, and P2P services. We evaluate the user satisfaction using five-scale Likert measure. This study also performs "Paired Sample T-test" for the results of the survey. The results show that the proposed model outperforms the random selection model with 1% statistical significance level. It means that the users satisfied the recommended product list significantly. The results also show that the proposed system may be useful in real-world online shopping store.